1,720,991 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Women using hormonal contraceptives show increased valence ratings and memory performance for emotional information
No full textPerception of emotional valence and emotional memory performance vary across the menstrual cycle. However, the consequences of altered ovarian hormone levels due to the intake of hormonal contraceptives on these emotional and cognitive processes remain to be established. In the present study, which included 2169 healthy young females, we show that hormonal contraceptives (HC) users rated emotional pictures as more emotional than HC-non-users and outperformed non-users in terms of better memory recall of emotional pictures. The observed association between HC-status and memory performance was partially mediated by the perception of emotional picture valence, indicating that increased valence ratings of emotional pictures in HC-users led to their better emotional memory performance. These findings extend the knowledge about the relation of HC-intake with emotional valence perception and emotional memory performance. Further, the findings might stimulate further research investigating the interrelation of enhanced memory for emotional events and the increased risk for anxiety-related psychiatric disorders in women
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Why complex human phenotypes need complex data analytics - insights from fields of molecular and cognitive neuroscience
Full text linkEpidemiological research investigates the natural occurring variation of complex traits and the covariance between these traits in the general population. By doing so, epidemiological research is an important tool to understand influential factors on complex traits such as neuropsychiatric diseases and related phenotypes. However, epidemiological studies are challenged by interpretational difficulties and are often limited to inferential data analysis especially when based on a cross-sectional design. Different strategies exist to optimize the impact generated by such inferential data analyses. One strategy is to increase the depth of information by adding intermediate related traits, which is especially done in the field of genetics. However, complex covariance pattern typically underlie the relation between e.g. genotype, intermediate phenotype and primary phenotype of interest, which have to be resolved. In this situation, more complex analytical strategies might help to identify the most plausible model of relationship. The downside of these more comprehensive analytical models lies in the increase of model complexity, that might result in a less stable outcome. Finding a good balance between model complexity and analytical simplicity is a major challenge when performing combined analyses with several complex phenotypes. In the current thesis I presented three different works dealing with complex analytical strategies. The main goal behind all three of them was not to build up comprehensive theoretical frameworks, but to perform more preparatory analytical steps. The meta-analysis validated and extended a genetic association finding of the single nucleotide polymorphism rs17070145 with human memory performance by accumulating information of about 6 years of research performed worldwide. The heritability analysis verified that a common SNP-chip array is an appropriate dataset to perform more complex genetic analysis with human working memory performance measurements. The analysis of common epigenetic variation validates the DNA CpG methylation dataset in the context of complex analyses in mentally healthy young adults. Additionally, when comparing the three analyses, they also shed light on the varying complexity of putative intermediate phenotypes in human research. This knowledge can be used to build up comprehensive theoretical models and complex statistical analyses that combine several complex phenotypes
Modulation der mittels funktioneller Magnetresonanztomographie (fMRT) gemessenen Aktivität des primären sensomotorischen Cortex durch Aufmerksamkeit
Full text linkMagdeburg, Univ., Med. Fak., Diss., 2013von Annette Milni
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